Evidence map›Paper›PMID 41040359›Full record

ArticlebioRxiv : the preprint server for biology2025

Survival of Thermostable Φ6 Genotypes in Acidic, Basic, and UV Environments.

Aruna G Nayagam, Elizabeth A Wyatt, Parnian Pour Bahrami, Sonia Singhal

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Aruna G NayagamDepartment of Biological Sciences, San José State University, San José, CA, USA.
Elizabeth A WyattDepartment of Chemistry, San José State University, San José, CA, USA.
Parnian Pour BahramiDepartment of Biological Sciences, San José State University, San José, CA, USA.
Sonia SinghalDepartment of Biological Sciences, San José State University, San José, CA, USA.ORCID 0000-0002-5531-8193

Funding

Effects of The Rate of Environmental Change on Mutational Patterns and Evolutionary ConstraintsR16GM146706 · NIGMS · SAN JOSE STATE UNIVERSITY · PI SINGHAL, SONIA · 2022 to 2025
$733k
NIGMS NIH HHS R16 GM146706
6 · The paper itself

Abstract

Mutations can facilitate viral resistance to a single extreme environment. But it is unknown how often these mutations confer resistance to other extreme environments to which the viruses have not been previously exposed. Here, we focus on how prior adaptation to thermal stress affects viral survival during exposure to acidic, basic, and UV conditions. We exposed four genotypes (3 single mutants and an unmutated ancestor) of the bacteriophage Φ6 with varying thermostability (low, high, or ancestral) to acid (pH 4) for 2 minutes, to base (pH 11) for 16 hours, or to UV radiation for 1 minute. We hypothesized the most thermostable genotype would also have higher survival in pH and UV stress. Unexpectedly, the least thermostable genotype demonstrated the highest survival in acidic, basic, and UV conditions, while the most thermostable genotype tended to show the lower survival in these environments. These results suggest that mutations that increase phage thermostability may not always increase pH or UV stability. Rather, molecular mechanisms of stability may depend on the environment. Investigating the survival of Φ6 in other adverse environments could provide further information on molecular mechanisms of stability and viral survival strategies.

Indexed as

acid/base stabilitybacteriophagemutational effectspleiotropythermostabilityUV stabilityviral stabilityΦ6

Identifiers

PMID41040359
PMCPMC12485847

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.